Yuchen Zhu

Machine Learning PhD @ Georgia Tech 🍀

prof_pic.jpg

140 Skiles

686 Cherry St NW

Atlanta, GA 30332

Hi, I am Yuchen Zhu, a 2nd year Machine Learning PhD at Georgia Tech.

I work on diffusion models, mean field games, sampling and optimal transport. I am primarily interested in the intersection of dynamics, deep learning and statistics, with application in generative modeling, game theory, scientific machine learning and reinforcement learning.

At Georgia Tech, I am fortunate to be advised by Molei Tao and working with a group of incredible researchers. Prior to that, I graduated with MA in Statistics from Yale University and BS in Honors Mathematics with highest honor from NYU Shanghai. During these times, I had the privilege to work with Zhuoran Yang and Mathieu Laurière on reinforcement learning and mean field games.

Contact: yzhu738 [at] gatech [dot] edu



Talks
[11/2024] GT ML Student Seminar
[10/2024] SIAM Mathematics of Data Science 2024 Atlanta, talk and poster presentation
[04/2024] Southeast ACM Student Workshop 2024, student presentation

Selected Publications

(* Equal contribution, Alphabetical order)
  1. arXiv
    Plug-and-Play Controllable Generation for Discrete Masked Models
    Wei Guo*, Yuchen Zhu*, Molei Tao, and Yongxin Chen
    arXiv preprint arXiv:2410.02143, 2024
  2. arXiv
    Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
    Sichen Zhu*, Yuchen Zhu*, Molei Tao, and Peng Qiu
    In submission, 2024
  3. arXiv
    Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
    Yuchen Zhu*, Tianrong Chen*, Lingkai Kong, Evangelos A Theodorou, and Molei Tao
    arXiv preprint arXiv:2405.16381, 2024
  4. arXiv
    A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization
    Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, and Xiaohong Chen
    arXiv preprint arXiv:2404.12312, 2024